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<div class="title">ComplexEigenSolver.h</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// Copyright (C) 2009 Claire Maurice</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">// Copyright (C) 2009 Gael Guennebaud &lt;gael.guennebaud@inria.fr&gt;</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment">// Copyright (C) 2010,2012 Jitse Niesen &lt;jitse@maths.leeds.ac.uk&gt;</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160; </div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#ifndef EIGEN_COMPLEX_EIGEN_SOLVER_H</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#define EIGEN_COMPLEX_EIGEN_SOLVER_H</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &quot;./ComplexSchur.h&quot;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160; </div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &quot;./InternalHeaderCheck.h&quot;</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160; </div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceEigen.html">Eigen</a> { </div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160; </div>
<div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html">   47</a></span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType_&gt; <span class="keyword">class </span><a class="code" href="classEigen_1_1ComplexEigenSolver.html">ComplexEigenSolver</a></div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;{</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160; </div>
<div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#ac9cbc46e4029e5270233f2e5935ca7c5">   52</a></span>&#160;    <span class="keyword">typedef</span> MatrixType_ <a class="code" href="classEigen_1_1ComplexEigenSolver.html#ac9cbc46e4029e5270233f2e5935ca7c5">MatrixType</a>;</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160; </div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;      RowsAtCompileTime = MatrixType::RowsAtCompileTime,</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;      ColsAtCompileTime = MatrixType::ColsAtCompileTime,</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;      Options = MatrixType::Options,</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    };</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160; </div>
<div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#a529599511298b96c3aa8c076807adcd9">   63</a></span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a529599511298b96c3aa8c076807adcd9">Scalar</a>;</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structEigen_1_1NumTraits.html">NumTraits&lt;Scalar&gt;::Real</a> RealScalar;</div>
<div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#a8bd6f818f11487fa2eb4b01cb920ace6">   65</a></span>&#160;    <span class="keyword">typedef</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Eigen::Index</a> <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a8bd6f818f11487fa2eb4b01cb920ace6">Index</a>; </div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160; </div>
<div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#a2ac2cfde9d0f3012e059c8d8e2ba7db7">   73</a></span>&#160;    <span class="keyword">typedef</span> std::complex&lt;RealScalar&gt; <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a2ac2cfde9d0f3012e059c8d8e2ba7db7">ComplexScalar</a>;</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160; </div>
<div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#af1d033d8c14e9461203d960c000bb72b">   80</a></span>&#160;    <span class="keyword">typedef</span> <a class="code" href="classEigen_1_1Matrix.html">Matrix</a>&lt;<a class="code" href="classEigen_1_1ComplexEigenSolver.html#a2ac2cfde9d0f3012e059c8d8e2ba7db7">ComplexScalar</a>, ColsAtCompileTime, 1, Options&amp;(~<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a>), MaxColsAtCompileTime, 1&gt; <a class="code" href="classEigen_1_1Matrix.html">EigenvalueType</a>;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160; </div>
<div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#a8f3a8e3a570ca7e6df9a5ebfaa832d59">   87</a></span>&#160;    <span class="keyword">typedef</span> <a class="code" href="classEigen_1_1Matrix.html">Matrix&lt;ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime, MaxColsAtCompileTime&gt;</a> <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a8f3a8e3a570ca7e6df9a5ebfaa832d59">EigenvectorType</a>;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160; </div>
<div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#a47423d74e9d6d1c1583ddf0d0739c38b">   94</a></span>&#160;    <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a47423d74e9d6d1c1583ddf0d0739c38b">ComplexEigenSolver</a>()</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;            : m_eivec(),</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;              m_eivalues(),</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;              m_schur(),</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;              m_isInitialized(false),</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;              m_eigenvectorsOk(false),</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;              m_matX()</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    {}</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160; </div>
<div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#a37240ce1bf2092c91d3bcb93ce30d9a9">  109</a></span>&#160;    <span class="keyword">explicit</span> <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a37240ce1bf2092c91d3bcb93ce30d9a9">ComplexEigenSolver</a>(<a class="code" href="classEigen_1_1ComplexEigenSolver.html#a8bd6f818f11487fa2eb4b01cb920ace6">Index</a> size)</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;            : m_eivec(size, size),</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;              m_eivalues(size),</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;              m_schur(size),</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;              m_isInitialized(false),</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;              m_eigenvectorsOk(false),</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;              m_matX(size, size)</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    {}</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160; </div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> InputType&gt;</div>
<div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#a6b1ad5564efbd25fc8f8f0321424e821">  128</a></span>&#160;    <span class="keyword">explicit</span> <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a6b1ad5564efbd25fc8f8f0321424e821">ComplexEigenSolver</a>(<span class="keyword">const</span> <a class="code" href="structEigen_1_1EigenBase.html">EigenBase&lt;InputType&gt;</a>&amp; matrix, <span class="keywordtype">bool</span> computeEigenvectors = <span class="keyword">true</span>)</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;            : m_eivec(matrix.rows(),matrix.cols()),</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;              m_eivalues(matrix.cols()),</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;              m_schur(matrix.rows()),</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;              m_isInitialized(false),</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;              m_eigenvectorsOk(false),</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;              m_matX(matrix.rows(),matrix.cols())</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    {</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;      <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a850a4061eb932a8a30698551201f9cd1">compute</a>(matrix.<a class="code" href="structEigen_1_1EigenBase.html#a1fbabe7f12bcbfba3b9a448b1f5e46fa">derived</a>(), computeEigenvectors);</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    }</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160; </div>
<div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#af9619dd3f289e8659131789039901202">  159</a></span>&#160;    <span class="keyword">const</span> <a class="code" href="classEigen_1_1Matrix.html">EigenvectorType</a>&amp; <a class="code" href="classEigen_1_1ComplexEigenSolver.html#af9619dd3f289e8659131789039901202">eigenvectors</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;      eigen_assert(m_isInitialized &amp;&amp; <span class="stringliteral">&quot;ComplexEigenSolver is not initialized.&quot;</span>);</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;      eigen_assert(m_eigenvectorsOk &amp;&amp; <span class="stringliteral">&quot;The eigenvectors have not been computed together with the eigenvalues.&quot;</span>);</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;      <span class="keywordflow">return</span> m_eivec;</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    }</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160; </div>
<div class="line"><a name="l00184"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#ab653e145059038d279758e0732045149">  184</a></span>&#160;    <span class="keyword">const</span> <a class="code" href="classEigen_1_1Matrix.html">EigenvalueType</a>&amp; <a class="code" href="classEigen_1_1ComplexEigenSolver.html#ab653e145059038d279758e0732045149">eigenvalues</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;      eigen_assert(m_isInitialized &amp;&amp; <span class="stringliteral">&quot;ComplexEigenSolver is not initialized.&quot;</span>);</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;      <span class="keywordflow">return</span> m_eivalues;</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    }</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160; </div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> InputType&gt;</div>
<div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#a850a4061eb932a8a30698551201f9cd1">  215</a></span>&#160;    <a class="code" href="classEigen_1_1ComplexEigenSolver.html">ComplexEigenSolver</a>&amp; <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a850a4061eb932a8a30698551201f9cd1">compute</a>(<span class="keyword">const</span> <a class="code" href="structEigen_1_1EigenBase.html">EigenBase&lt;InputType&gt;</a>&amp; matrix, <span class="keywordtype">bool</span> computeEigenvectors = <span class="keyword">true</span>);</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160; </div>
<div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#aee79c3be45f7d1a8f6dcfffc421dca69">  221</a></span>&#160;    <a class="code" href="group__enums.html#ga85fad7b87587764e5cf6b513a9e0ee5e">ComputationInfo</a> <a class="code" href="classEigen_1_1ComplexEigenSolver.html#aee79c3be45f7d1a8f6dcfffc421dca69">info</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;      eigen_assert(m_isInitialized &amp;&amp; <span class="stringliteral">&quot;ComplexEigenSolver is not initialized.&quot;</span>);</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;      <span class="keywordflow">return</span> m_schur.<a class="code" href="classEigen_1_1ComplexSchur.html#a13adef2a54e61bb5789eb7821a3b7b46">info</a>();</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    }</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160; </div>
<div class="line"><a name="l00228"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#aa84be4fa203b334eb9adbf5963cc54d0">  228</a></span>&#160;    <a class="code" href="classEigen_1_1ComplexEigenSolver.html">ComplexEigenSolver</a>&amp; <a class="code" href="classEigen_1_1ComplexEigenSolver.html#aa84be4fa203b334eb9adbf5963cc54d0">setMaxIterations</a>(<a class="code" href="classEigen_1_1ComplexEigenSolver.html#a8bd6f818f11487fa2eb4b01cb920ace6">Index</a> maxIters)</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    {</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;      m_schur.<a class="code" href="classEigen_1_1ComplexSchur.html#ab559c4b9a0a742091c4b15b84a6ddf97">setMaxIterations</a>(maxIters);</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;      <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    }</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160; </div>
<div class="line"><a name="l00235"></a><span class="lineno"><a class="line" href="classEigen_1_1ComplexEigenSolver.html#a38b46258ce744304049583123897368c">  235</a></span>&#160;    <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a8bd6f818f11487fa2eb4b01cb920ace6">Index</a> <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a38b46258ce744304049583123897368c">getMaxIterations</a>()</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    {</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;      <span class="keywordflow">return</span> m_schur.<a class="code" href="classEigen_1_1ComplexSchur.html#a6f35999b87c247bb24b2ad6ba1abee69">getMaxIterations</a>();</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    }</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160; </div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160; </div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    EIGEN_STATIC_ASSERT_NON_INTEGER(<a class="code" href="classEigen_1_1ComplexEigenSolver.html#a529599511298b96c3aa8c076807adcd9">Scalar</a>)</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160; </div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a8f3a8e3a570ca7e6df9a5ebfaa832d59">EigenvectorType</a> m_eivec;</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    <a class="code" href="classEigen_1_1ComplexEigenSolver.html#af1d033d8c14e9461203d960c000bb72b">EigenvalueType</a> m_eivalues;</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    <a class="code" href="classEigen_1_1ComplexSchur.html">ComplexSchur&lt;MatrixType&gt;</a> m_schur;</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    <span class="keywordtype">bool</span> m_isInitialized;</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    <span class="keywordtype">bool</span> m_eigenvectorsOk;</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    <a class="code" href="classEigen_1_1ComplexEigenSolver.html#a8f3a8e3a570ca7e6df9a5ebfaa832d59">EigenvectorType</a> m_matX;</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160; </div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;  <span class="keyword">private</span>:</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    <span class="keywordtype">void</span> doComputeEigenvectors(RealScalar matrixnorm);</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    <span class="keywordtype">void</span> sortEigenvalues(<span class="keywordtype">bool</span> computeEigenvectors);</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;};</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160; </div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160; </div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType&gt;</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> InputType&gt;</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;ComplexEigenSolver&lt;MatrixType&gt;&amp; </div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;<a class="code" href="classEigen_1_1ComplexEigenSolver.html#a850a4061eb932a8a30698551201f9cd1">ComplexEigenSolver&lt;MatrixType&gt;::compute</a>(<span class="keyword">const</span> EigenBase&lt;InputType&gt;&amp; matrix, <span class="keywordtype">bool</span> computeEigenvectors)</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;{</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;  <span class="comment">// this code is inspired from Jampack</span></div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;  eigen_assert(matrix.cols() == matrix.rows());</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160; </div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;  <span class="comment">// Do a complex Schur decomposition, A = U T U^*</span></div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;  <span class="comment">// The eigenvalues are on the diagonal of T.</span></div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;  m_schur.compute(matrix.derived(), computeEigenvectors);</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160; </div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;  <span class="keywordflow">if</span>(m_schur.info() == <a class="code" href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea671a2aeb0f527802806a441d58a80fcf">Success</a>)</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;  {</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;    m_eivalues = m_schur.matrixT().diagonal();</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;    <span class="keywordflow">if</span>(computeEigenvectors)</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;      doComputeEigenvectors(m_schur.matrixT().norm());</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    sortEigenvalues(computeEigenvectors);</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;  }</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160; </div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;  m_isInitialized = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;  m_eigenvectorsOk = computeEigenvectors;</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;}</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160; </div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160; </div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType&gt;</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;<span class="keywordtype">void</span> ComplexEigenSolver&lt;MatrixType&gt;::doComputeEigenvectors(RealScalar matrixnorm)</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;{</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;  <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> n = m_eivalues.size();</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160; </div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;  matrixnorm = numext::maxi(matrixnorm,(std::numeric_limits&lt;RealScalar&gt;::min)());</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160; </div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;  <span class="comment">// Compute X such that T = X D X^(-1), where D is the diagonal of T.</span></div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;  <span class="comment">// The matrix X is unit triangular.</span></div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;  m_matX = EigenvectorType::Zero(n, n);</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;  <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> k=n-1 ; k&gt;=0 ; k--)</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;  {</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    m_matX.coeffRef(k,k) = ComplexScalar(1.0,0.0);</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;    <span class="comment">// Compute X(i,k) using the (i,k) entry of the equation X T = D X</span></div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;    <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i=k-1 ; i&gt;=0 ; i--)</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;    {</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;      m_matX.coeffRef(i,k) = -m_schur.matrixT().coeff(i,k);</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;      <span class="keywordflow">if</span>(k-i-1&gt;0)</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;        m_matX.coeffRef(i,k) -= (m_schur.matrixT().row(i).segment(i+1,k-i-1) * m_matX.col(k).segment(i+1,k-i-1)).value();</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;      ComplexScalar z = m_schur.matrixT().coeff(i,i) - m_schur.matrixT().coeff(k,k);</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;      <span class="keywordflow">if</span>(z==ComplexScalar(0))</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;      {</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;        <span class="comment">// If the i-th and k-th eigenvalue are equal, then z equals 0.</span></div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;        <span class="comment">// Use a small value instead, to prevent division by zero.</span></div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;        numext::real_ref(z) = NumTraits&lt;RealScalar&gt;::epsilon() * matrixnorm;</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;      }</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;      m_matX.coeffRef(i,k) = m_matX.coeff(i,k) / z;</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;    }</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;  }</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160; </div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;  <span class="comment">// Compute V as V = U X; now A = U T U^* = U X D X^(-1) U^* = V D V^(-1)</span></div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;  m_eivec.noalias() = m_schur.matrixU() * m_matX;</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;  <span class="comment">// .. and normalize the eigenvectors</span></div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;  <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> k=0 ; k&lt;n ; k++)</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;  {</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;    m_eivec.col(k).normalize();</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;  }</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;}</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160; </div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160; </div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType&gt;</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;<span class="keywordtype">void</span> ComplexEigenSolver&lt;MatrixType&gt;::sortEigenvalues(<span class="keywordtype">bool</span> computeEigenvectors)</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;{</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;  <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> n =  m_eivalues.size();</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;  <span class="keywordflow">for</span> (<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i=0; i&lt;n; i++)</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;  {</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> k;</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    m_eivalues.cwiseAbs().tail(n-i).minCoeff(&amp;k);</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    <span class="keywordflow">if</span> (k != 0)</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;    {</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;      k += i;</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;      std::swap(m_eivalues[k],m_eivalues[i]);</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;      <span class="keywordflow">if</span>(computeEigenvectors)</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;        m_eivec.col(i).swap(m_eivec.col(k));</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    }</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;  }</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;}</div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160; </div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;} <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160; </div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;<span class="preprocessor">#endif </span><span class="comment">// EIGEN_COMPLEX_EIGEN_SOLVER_H</span></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html">Eigen::ComplexEigenSolver</a></div><div class="ttdoc">Computes eigenvalues and eigenvectors of general complex matrices.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:48</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_a2ac2cfde9d0f3012e059c8d8e2ba7db7"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#a2ac2cfde9d0f3012e059c8d8e2ba7db7">Eigen::ComplexEigenSolver::ComplexScalar</a></div><div class="ttdeci">std::complex&lt; RealScalar &gt; ComplexScalar</div><div class="ttdoc">Complex scalar type for MatrixType.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:73</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_a37240ce1bf2092c91d3bcb93ce30d9a9"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#a37240ce1bf2092c91d3bcb93ce30d9a9">Eigen::ComplexEigenSolver::ComplexEigenSolver</a></div><div class="ttdeci">ComplexEigenSolver(Index size)</div><div class="ttdoc">Default Constructor with memory preallocation.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:109</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_a38b46258ce744304049583123897368c"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#a38b46258ce744304049583123897368c">Eigen::ComplexEigenSolver::getMaxIterations</a></div><div class="ttdeci">Index getMaxIterations()</div><div class="ttdoc">Returns the maximum number of iterations.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:235</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_a47423d74e9d6d1c1583ddf0d0739c38b"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#a47423d74e9d6d1c1583ddf0d0739c38b">Eigen::ComplexEigenSolver::ComplexEigenSolver</a></div><div class="ttdeci">ComplexEigenSolver()</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:94</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_a529599511298b96c3aa8c076807adcd9"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#a529599511298b96c3aa8c076807adcd9">Eigen::ComplexEigenSolver::Scalar</a></div><div class="ttdeci">MatrixType::Scalar Scalar</div><div class="ttdoc">Scalar type for matrices of type MatrixType.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:63</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_a6b1ad5564efbd25fc8f8f0321424e821"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#a6b1ad5564efbd25fc8f8f0321424e821">Eigen::ComplexEigenSolver::ComplexEigenSolver</a></div><div class="ttdeci">ComplexEigenSolver(const EigenBase&lt; InputType &gt; &amp;matrix, bool computeEigenvectors=true)</div><div class="ttdoc">Constructor; computes eigendecomposition of given matrix.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:128</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_a850a4061eb932a8a30698551201f9cd1"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#a850a4061eb932a8a30698551201f9cd1">Eigen::ComplexEigenSolver::compute</a></div><div class="ttdeci">ComplexEigenSolver &amp; compute(const EigenBase&lt; InputType &gt; &amp;matrix, bool computeEigenvectors=true)</div><div class="ttdoc">Computes eigendecomposition of given matrix.</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_a8bd6f818f11487fa2eb4b01cb920ace6"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#a8bd6f818f11487fa2eb4b01cb920ace6">Eigen::ComplexEigenSolver::Index</a></div><div class="ttdeci">Eigen::Index Index</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:65</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_a8f3a8e3a570ca7e6df9a5ebfaa832d59"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#a8f3a8e3a570ca7e6df9a5ebfaa832d59">Eigen::ComplexEigenSolver::EigenvectorType</a></div><div class="ttdeci">Matrix&lt; ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime, MaxColsAtCompileTime &gt; EigenvectorType</div><div class="ttdoc">Type for matrix of eigenvectors as returned by eigenvectors().</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:87</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_aa84be4fa203b334eb9adbf5963cc54d0"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#aa84be4fa203b334eb9adbf5963cc54d0">Eigen::ComplexEigenSolver::setMaxIterations</a></div><div class="ttdeci">ComplexEigenSolver &amp; setMaxIterations(Index maxIters)</div><div class="ttdoc">Sets the maximum number of iterations allowed.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:228</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_ab653e145059038d279758e0732045149"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#ab653e145059038d279758e0732045149">Eigen::ComplexEigenSolver::eigenvalues</a></div><div class="ttdeci">const EigenvalueType &amp; eigenvalues() const</div><div class="ttdoc">Returns the eigenvalues of given matrix.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:184</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_ac9cbc46e4029e5270233f2e5935ca7c5"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#ac9cbc46e4029e5270233f2e5935ca7c5">Eigen::ComplexEigenSolver::MatrixType</a></div><div class="ttdeci">MatrixType_ MatrixType</div><div class="ttdoc">Synonym for the template parameter MatrixType_.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:52</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_aee79c3be45f7d1a8f6dcfffc421dca69"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#aee79c3be45f7d1a8f6dcfffc421dca69">Eigen::ComplexEigenSolver::info</a></div><div class="ttdeci">ComputationInfo info() const</div><div class="ttdoc">Reports whether previous computation was successful.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:221</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_af1d033d8c14e9461203d960c000bb72b"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#af1d033d8c14e9461203d960c000bb72b">Eigen::ComplexEigenSolver::EigenvalueType</a></div><div class="ttdeci">Matrix&lt; ComplexScalar, ColsAtCompileTime, 1, Options &amp;(~RowMajor), MaxColsAtCompileTime, 1 &gt; EigenvalueType</div><div class="ttdoc">Type for vector of eigenvalues as returned by eigenvalues().</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:80</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexEigenSolver_html_af9619dd3f289e8659131789039901202"><div class="ttname"><a href="classEigen_1_1ComplexEigenSolver.html#af9619dd3f289e8659131789039901202">Eigen::ComplexEigenSolver::eigenvectors</a></div><div class="ttdeci">const EigenvectorType &amp; eigenvectors() const</div><div class="ttdoc">Returns the eigenvectors of given matrix.</div><div class="ttdef"><b>Definition:</b> ComplexEigenSolver.h:159</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexSchur_html"><div class="ttname"><a href="classEigen_1_1ComplexSchur.html">Eigen::ComplexSchur&lt; MatrixType &gt;</a></div></div>
<div class="ttc" id="aclassEigen_1_1ComplexSchur_html_a13adef2a54e61bb5789eb7821a3b7b46"><div class="ttname"><a href="classEigen_1_1ComplexSchur.html#a13adef2a54e61bb5789eb7821a3b7b46">Eigen::ComplexSchur::info</a></div><div class="ttdeci">ComputationInfo info() const</div><div class="ttdoc">Reports whether previous computation was successful.</div><div class="ttdef"><b>Definition:</b> ComplexSchur.h:219</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexSchur_html_a6f35999b87c247bb24b2ad6ba1abee69"><div class="ttname"><a href="classEigen_1_1ComplexSchur.html#a6f35999b87c247bb24b2ad6ba1abee69">Eigen::ComplexSchur::getMaxIterations</a></div><div class="ttdeci">Index getMaxIterations()</div><div class="ttdoc">Returns the maximum number of iterations.</div><div class="ttdef"><b>Definition:</b> ComplexSchur.h:237</div></div>
<div class="ttc" id="aclassEigen_1_1ComplexSchur_html_ab559c4b9a0a742091c4b15b84a6ddf97"><div class="ttname"><a href="classEigen_1_1ComplexSchur.html#ab559c4b9a0a742091c4b15b84a6ddf97">Eigen::ComplexSchur::setMaxIterations</a></div><div class="ttdeci">ComplexSchur &amp; setMaxIterations(Index maxIters)</div><div class="ttdoc">Sets the maximum number of iterations allowed.</div><div class="ttdef"><b>Definition:</b> ComplexSchur.h:230</div></div>
<div class="ttc" id="aclassEigen_1_1Matrix_html"><div class="ttname"><a href="classEigen_1_1Matrix.html">Eigen::Matrix</a></div><div class="ttdoc">The matrix class, also used for vectors and row-vectors.</div><div class="ttdef"><b>Definition:</b> Matrix.h:182</div></div>
<div class="ttc" id="agroup__enums_html_ga85fad7b87587764e5cf6b513a9e0ee5e"><div class="ttname"><a href="group__enums.html#ga85fad7b87587764e5cf6b513a9e0ee5e">Eigen::ComputationInfo</a></div><div class="ttdeci">ComputationInfo</div><div class="ttdef"><b>Definition:</b> Constants.h:442</div></div>
<div class="ttc" id="agroup__enums_html_gga85fad7b87587764e5cf6b513a9e0ee5ea671a2aeb0f527802806a441d58a80fcf"><div class="ttname"><a href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea671a2aeb0f527802806a441d58a80fcf">Eigen::Success</a></div><div class="ttdeci">@ Success</div><div class="ttdef"><b>Definition:</b> Constants.h:444</div></div>
<div class="ttc" id="agroup__enums_html_ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f"><div class="ttname"><a href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">Eigen::RowMajor</a></div><div class="ttdeci">@ RowMajor</div><div class="ttdef"><b>Definition:</b> Constants.h:323</div></div>
<div class="ttc" id="anamespaceEigen_html"><div class="ttname"><a href="namespaceEigen.html">Eigen</a></div><div class="ttdoc">Namespace containing all symbols from the Eigen library.</div><div class="ttdef"><b>Definition:</b> Core:139</div></div>
<div class="ttc" id="anamespaceEigen_html_a62e77e0933482dafde8fe197d9a2cfde"><div class="ttname"><a href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Eigen::Index</a></div><div class="ttdeci">EIGEN_DEFAULT_DENSE_INDEX_TYPE Index</div><div class="ttdoc">The Index type as used for the API.</div><div class="ttdef"><b>Definition:</b> Meta.h:59</div></div>
<div class="ttc" id="astructEigen_1_1EigenBase_html"><div class="ttname"><a href="structEigen_1_1EigenBase.html">Eigen::EigenBase</a></div><div class="ttdef"><b>Definition:</b> EigenBase.h:32</div></div>
<div class="ttc" id="astructEigen_1_1EigenBase_html_a1fbabe7f12bcbfba3b9a448b1f5e46fa"><div class="ttname"><a href="structEigen_1_1EigenBase.html#a1fbabe7f12bcbfba3b9a448b1f5e46fa">Eigen::EigenBase::derived</a></div><div class="ttdeci">Derived &amp; derived()</div><div class="ttdef"><b>Definition:</b> EigenBase.h:48</div></div>
<div class="ttc" id="astructEigen_1_1NumTraits_html"><div class="ttname"><a href="structEigen_1_1NumTraits.html">Eigen::NumTraits</a></div><div class="ttdoc">Holds information about the various numeric (i.e. scalar) types allowed by Eigen.</div><div class="ttdef"><b>Definition:</b> NumTraits.h:231</div></div>
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